Korelasi Multivariate
Wahyu Widhiarso
Fakul tas Psi kol ogi UGM
A B C
Y
X
Korelasi X-Y
r
2x1y
= B
Residu Korelasi X-Y
1-r
2x1y
= A
PerananGaya Kepemimpinan Transformasional Guruterhadap
Motivasi Belajar Siswaadalah sebesar 13,5 % dan sisanya 66,5% Motivasi Siswa dipengaruhi oleh faktor lain
A
Residu Regresi
A=1-(B+C+D)
Multi Kolinieritas
r
2x1x2
= B+C
Korelasi Ganda
R
2YX1X2
=B+C+D
Regresi
F= B+C+D
Korelasi Semi Partial (
Part Correlation
)
)
/(
A
Korelasi Partial (
Partial Correlation
)
)
123 2
PENGERTIAN
REGRESI
• Memprediksi nilai variabel tergantung
(kriterium/criterion) berdasarkan variabel bebas
(prediktor)
• Hasilnya adalah
Persamaan Regresi
• Regresi tunggal
regresi ganda
• Uji Prasyarat yang dilakukan :
ASUMSI REGRESI
• DATA. The dependent and independent variables should be quantitative. Categorical variables, such as religion, major field of study, or region of residence, need to be recoded to binary (dummy) variables or other types of contrast variables.
• ASSUMPTIONS. For each value of the independent variable, the distribution of the dependent variable must be normal. The variance of the distribution of the
dependent variable should be constant for all values of the independent variable. The relationship between the dependent variable and each independent variable should be linear, and all observations should be independent.
KOMPONEN
REGRESI
• Model Regresi
– Enter– Stepwise
– Backward Elimination – Forward Selection
• Sumbangan Efektif (Effect Size) (R)
• Nilai Prediksi Prediktor secara Simultan (F)
• Nilai Prediksi Tiap Prediktor (b)
MODEL REGRESI
•
KEYWORD
: Siapa yang ‘masuk’ duluan akan
mendapatkan tempat terbanyak
• Model Regresi
– Enter– Stepwise
